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学术不端在科技界时有发生,而学术不端稿件在学术期刊编辑部的日常工作中经常遇到。由于学术不端文献检测系统(AMLC)自身技术和算法结构的局限性,AMLC并不能真正地达到人工智能,所以编辑日常工作中不能完全依赖AMLC的检测结果。笔者根据《中医学报》部分新来稿件的检测结果对文献类型、重复文献类型、重复位置、基金类型、与作者自己比较、作者身份特征、作者单位信息及重复文献数量等方面进行详细分析,并对高文字复制比的学位论文、基金项目资助论文、名医经验总结等类型稿件进行了探讨。
Academic misconduct occurs in the scientific community from time to time, and academic misconduct manuscripts are often encountered in the daily work of editorial board editors. AMLC does not really achieve artificial intelligence because of the limitations of its own technology and algorithmic structure of AMLC. Therefore, AMLC’s editorial results can not be completely relied on in its daily work. Based on the test results of some new articles in the Journal of Traditional Chinese Medicine, the author analyzes the types of documents, the type of duplicate documents, the location of duplicates, the types of funds, the author’s own identity, the author’s identity characteristics, the author’s unit information and the number of duplicate documents. Such as dissertations of high writing copy ratio, fund project funded papers, summaries of experienced doctors and other types of manuscripts were discussed.